Automatic recognition of military vehicles with Krawtchouk moments

Carmine Clemente, Luca Pallotta, Domenico Gaglione, Antonio De Maio, John J. Soraghan

Research output: Contribution to journalArticle

41 Citations (Scopus)
134 Downloads (Pure)

Abstract

The challenge of Automatic Target Recognition (ATR) of military targets within a Synthetic Aperture Radar (SAR) scene is addressed in this paper. The proposed approach exploits the discrete defined Krawtchouk moments, that are able to represent a detected extended target with few features, allowing its characterization. The proposed algorithm provides robust performance for target recognition, identification and characterization, with high reliability in presence of noise and reduced sensitivity to discretization errors. The effectiveness of the proposed approach is demonstrated using the MSTAR dataset.
Original languageEnglish
Pages (from-to)493-500
Number of pages8
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume53
Issue number1
Early online date17 Jan 2017
DOIs
Publication statusPublished - 28 Feb 2017

Keywords

  • automatic target recognition
  • military
  • synthetic aperture radar (SAR)
  • krawtchouk moments
  • characterization
  • discretization errors

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